/* ============================================
   Chat messages area
   ============================================ */
.chat-messages {
    flex: 1;
    overflow-y: auto;
    padding: 1rem;
    scroll-behavior: smooth;
    min-height: 200px;
}

.chat-messages:not(:has(.chat-message)) .empty-state {
    display: flex;
}

.chat-messages:has(.chat-message) .empty-state {
    display: none;
}

	<script type="text/javascript" src="${fe:url('/js/purify.min.js')}"></script>
	<script type="text/javascript" src="${fe:url('/js/chat.js')}"></script>
	<script type="text/javascript">
		$(function() {
			FessChat.init({
				apiUrl: '${fe:url('/api/v1/chat')}',
				streamUrl: '${fe:url('/api/v1/chat/stream')}',
				labels: {
					thinking: '<la:message key="labels.chat_thinking" />',

/**
 * Fess RAG Chat JavaScript
 * Enhanced with Atlassian Design System patterns
 */
var FessChat = (function() {
    'use strict';

    var config = {
        apiUrl: '/api/v1/chat',
        streamUrl: '/api/v1/chat/stream',
        labels: {
            thinking: 'Thinking...',
            waiting: '...',
            error: 'An error occurred. Please try again.',
            sources: 'Sources',
            statusReady: 'AI Assistant',

	<script type="text/javascript" src="${fe:url('/js/purify.min.js')}"></script>
	<script type="text/javascript" src="${fe:url('/js/chat.js')}"></script>
	<script type="text/javascript">
		$(function() {
			FessChat.init({
				apiUrl: '${fe:url('/api/v1/chat')}',
				streamUrl: '${fe:url('/api/v1/chat/stream')}',
				labels: {
					thinking: '<la:message key="labels.chat_thinking" />',

        }
        clientList.add(client);
    }

    /**
     * Performs a chat completion request using the configured LLM client.
     *
     * @param request the chat request
     * @return the chat response
     * @throws LlmException if LLM is not available or an error occurs
     */
    public LlmChatResponse chat(final LlmChatRequest request) {
        final long startTime = System.currentTimeMillis();

    }

    /**
     * Performs a chat request with RAG.
     *
     * @param sessionId the session ID (can be null for new sessions)
     * @param userMessage the user's message
     * @param userId the user ID (can be null for anonymous users)
     * @return the chat response including session info and sources
     */
    public ChatResult chat(final String sessionId, final String userMessage, final String userId) {

/**
 * API Manager for RAG chat endpoints with SSE streaming support.
 *
 * @author FessProject
 */
public class ChatApiManager extends BaseApiManager {

    private static final Logger logger = LogManager.getLogger(ChatApiManager.class);

    private static final String CHAT_API_PATH = "/api/v1/chat";
    private static final String STREAM_API_PATH = "/api/v1/chat/stream";

 *
 * In addition to low-level chat operations, this interface defines
 * high-level RAG workflow methods that allow each provider to optimize
 * prompt construction, parameter tuning, and response parsing.
 */
public interface LlmClient {

    /**
     * Performs a chat completion request.
     *
     * @param request the chat request containing messages and parameters

 */
package org.codelibs.fess.entity;

import java.io.Serializable;
import java.time.LocalDateTime;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;

/**
 * Represents a message in a chat conversation.
 *
 * @author FessProject
 */
public class ChatMessage implements Serializable {

    private static final long serialVersionUID = 1L;

    /** The role identifier for user messages. */

		</postConstruct>
		<postConstruct name="addDesignJspFileName">
			<arg>"profile"</arg>
			<arg>"profile/index.jsp"</arg>
		</postConstruct>
		<postConstruct name="addDesignJspFileName">
			<arg>"chat"</arg>
			<arg>"chat/chat.jsp"</arg>
		</postConstruct>
	</component>
	<component name="crawlingInfoHelper" class="org.codelibs.fess.helper.CrawlingInfoHelper">
	</component>